sklearn.metrics.pairwise
.linear_kernel¶
- sklearn.metrics.pairwise.linear_kernel(X, Y=None, dense_output=True)[source]¶
Compute the linear kernel between X and Y.
Read more in the User Guide.
- Parameters:
- Xndarray of shape (n_samples_X, n_features)
A feature array.
- Yndarray of shape (n_samples_Y, n_features), default=None
An optional second feature array. If
None
, usesY=X
.- dense_outputbool, default=True
Whether to return dense output even when the input is sparse. If
False
, the output is sparse if both input arrays are sparse.New in version 0.20.
- Returns:
- Gram matrixndarray of shape (n_samples_X, n_samples_Y)
The Gram matrix of the linear kernel, i.e.
X @ Y.T
.